Objective To explore the efficacy and underlying mechanism of Astragalus in the treatment of viral pancreatitis using network pharmacology,with confirmation of its efficacy and mechanism in cell experiments.Methods Astragalus and viral pancreatitis targets obtained from the Traditional Chinese Medicine Systems Pharmacology(TCMSP)and GeneCards databases were combined to obtain intersection targets.GO functional enrichment and KEGG signaling pathway enrichment analyses of therapeutic targets were conducted using the Database for Annotation,Visualization,and Integrated Discovery(DAVID)database.The interactions between therapeutic targets were analyzed using the STRING database and Cytoscape 3.10.2,and the core therapeutic targets were screened.Molecular docking between the most effective therapeutic components and the core targets was performed using PyMOL 3.0 and AutoDock Tools 1.5.7.CVB3 was used to construct a viral pancreatitis cell model for verification of the core targets.Results Seventy-eight therapeutic targets were identified.Enrichment analyses revealed the possible involvement of pathways related to cancer,lipids and atherosclerosis,and PI3K-AKT signaling.AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 were identified as possible core targets.The result of cell experiments showed that the expression level of AMY was significantly increased in the model group(P＜0.05).The Astragalus injection group exhibited significantly decreased expression levels of AMY,AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 compared with the model group(P＜0.05).Conclusions Astragalus injection effectively treated viral pancreatitis,and its therapeutic mechanism may involve reduced expression levels of AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9.

Objective To explore the efficacy and underlying mechanism of Astragalus in the treatment of viral pancreatitis using network pharmacology,with confirmation of its efficacy and mechanism in cell experiments.Methods Astragalus and viral pancreatitis targets obtained from the Traditional Chinese Medicine Systems Pharmacology(TCMSP)and GeneCards databases were combined to obtain intersection targets.GO functional enrichment and KEGG signaling pathway enrichment analyses of therapeutic targets were conducted using the Database for Annotation,Visualization,and Integrated Discovery(DAVID)database.The interactions between therapeutic targets were analyzed using the STRING database and Cytoscape 3.10.2,and the core therapeutic targets were screened.Molecular docking between the most effective therapeutic components and the core targets was performed using PyMOL 3.0 and AutoDock Tools 1.5.7.CVB3 was used to construct a viral pancreatitis cell model for verification of the core targets.Results Seventy-eight therapeutic targets were identified.Enrichment analyses revealed the possible involvement of pathways related to cancer,lipids and atherosclerosis,and PI3K-AKT signaling.AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 were identified as possible core targets.The result of cell experiments showed that the expression level of AMY was significantly increased in the model group(P＜0.05).The Astragalus injection group exhibited significantly decreased expression levels of AMY,AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 compared with the model group(P＜0.05).Conclusions Astragalus injection effectively treated viral pancreatitis,and its therapeutic mechanism may involve reduced expression levels of AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9.

Objective: To investigate the failure reasons of all-ceramic restorations fabricated with chair-side CAD-CAM technology (CEREC®) and to improve the clinical survival of all-ceramic restorations. Methods : All-ceramic single-tooth restorations of CEREC® in stomatology hospital of Jiangsu province between 2013 and 2016 were summarized. By clinical examination and CEREC Biogeneric surveying, the failure reasons and related restoration types were evaluated. These results were analyzed with Chi-square test and Spearman correlation analysis. Results: A total of 61 cases with restoration types of 11 inlays, 38 onlays, 2 endocrowns, and 11 all-crowns, resulted in a failure rate of 5.4% in all-ceramic single-tooth restorations in 1-4 years follow-up. The reasons for failure included ceramic fracture (n=33), debonding (n=13), tooth fracture (n=15), which attributed to thin ceramic thickness (n=27), acute line angle (n=6), insufficient enamel bulk (n=3), insufficient retention type (n=10), insufficient resistance type (n=15). Conclusion The most common reason for failure in CEREC® restorations was insufficient preparation space in occlusal surface.

OBJECTIVETo investigate the stress distributions under load in an all-ceramic crown of the upper central incisor in differential thickness.

METHODSThe 3-dimensional finite element model of all-ceramic crown of the upper central incisor in differential thickness was applied with differential loads (100, 150, 200 N). The stress values and distributions of all-ceramic crown were calculated and expressed.

RESULTSThe tendency of stress distributions in all-ceramic crown of differential thickness and loads was similar. The maximal stress intensity value was located in the loading site and the cervical region. As the thickness of all-ceramic crown increased, the stress concentration reduced. When the load increased, the stress values increased, especially in the loading site and the cervical region.

CONCLUSIONThe increasing of the thickness of all-ceramic crown will decrease stress concentration. Because stress concentration is mainly in cervical region and loading site, these regions should be cared in fabrication of all-ceramic crown.

Ceramics ; Crowns ; Dental Porcelain ; Dental Stress Analysis ; Finite Element Analysis ; Humans ; Incisor ; Tensile Strength